A Quick Look at Tezi:
Tezi positions an agentic, Slack-native AI recruiter ("Max") that autonomously sources, screens, and schedules, and claims a built-in dataset of ~750M profiles. It emphasizes 24/7 availability, proactive follow-ups, and instant processing of large applicant volumes.
The Mokka Difference:
- Agent in Slack vs. evidence in ATS: Tezi's Slack-first agent helps teams delegate tasks conversationally. Mokka focuses on generating role-aligned, integrity-checked evidence and posting rich profiles directly into your ATS for hiring-manager consumption.
- Control & governance: Mokka's recruiter-verified intake, objective rubrics, and answer/profile integrity analytics create a consistent, defensible process—especially important when agentic systems auto-advance steps.
- Cost/ownership posture: Tezi markets replacing multiple tools with its agent and data bundle; Mokka is ATS-agnostic and focused on owning your process & evidence rather than a proprietary sourcing pool.
Key Questions to Consider:
- If an agent sources and screens, how do you audit why candidates were advanced or rejected?
- Where does the candidate data live long-term (ATS vs. vendor system), and what happens if you switch?
- Can hiring managers inspect the underlying evidence—beyond summary scores—before interviews?